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For Companies At a Glance
- Tasks: Lead the delivery of innovative AI solutions from design to production.
- Company: Join Ema, a pioneering tech company redefining enterprise AI.
- Benefits: Competitive salary, equity options, and flexible work arrangements.
- Why this job: Make a real impact by transforming businesses with cutting-edge AI technology.
- Qualifications: 8+ years in technical delivery and experience with AI systems.
- Other info: Dynamic startup environment with opportunities for growth and mentorship.
The predicted salary is between 80000 - 100000 £ per year.
Ema is building the world's first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters. Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don't experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes. Founded by leaders from Google, Coinbase, and Okta, and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution, not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale. If you care about building and shipping real AI systems that work in production, this role is for you.
Who You Are
The AI Implementation Manager owns the delivery and stabilization of Ema's agentic AI solutions — from commitment through production rollout and steady state. This is not a research role, a support role or a coordination only project management role. You are the delivery leader and technical anchor during implementation, working closely with Value Engineering, Product, Engineering, Infrastructure, and customer IT and business teams. You build rare expertise in production-grade AI delivery. You help set the bar for how agentic AI is delivered in production and prove that AI systems can be implemented responsibly, not heroically. You help enterprises move from manual processes to reliable AI execution.
What You'll Work On
- End-to-End AI Delivery Ownership
- Own delivery from design alignment through production rollout and stabilization
- Ensure solutions align with Ema's agentic architecture and platform capabilities
- Feasibility Judgment & Agentic Workflow Translation
- Develop a deep understanding of the customer's business processes and constraints
- Translate business workflows into feasible agentic AI workflows
- Technical Oversight & De-Risking
- Provide delivery-focused technical oversight without being the primary builder
- Anticipate where AI implementations break — integrations, data quality, scale, edge cases
- Stakeholder Leadership (Internal & External)
- Act as the primary delivery point of contact for customer business and IT stakeholders
- Coordinate across Engineering, Product, Data, Infrastructure, and Value Engineering
- Delivery Management Under Pressure
- Coach stakeholders and teams during high-stress phases
- Reduce chaos — not amplify it — when things go wrong
- Progress, Reporting & Stabilization
- Communicate delivery progress, risks, and decisions clearly to all audiences
- Track success through adoption signals and outcome-adjacent metrics, not just features
- Team Leadership & Enablement
- Provide day-to-day delivery leadership and mentorship
- Promote shared standards, clear ownership, and delivery discipline
Who You Are
- You have 8+ years in technical delivery, implementation management, or program leadership roles
- You have experience with agentic AI, automation, or workflow orchestration platforms
- You have proven experience delivering complex, customer-facing enterprise systems
- You have hands-on exposure to AI or automation systems in production
- You have experience working across Engineering, Product, and customer IT teams
- You have a track record beyond pilots — production, scale, and accountability required
- You have familiarity with cloud platforms (AWS, GCP, Azure), APIs, and enterprise integrations
- You have a background in fast-growing startups or enterprise platform companies
- You have strong Technical and Delivery Judgement and prior experience stabilizing systems post go-live under real pressure
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.
Locations
AI Implementations Manager in Norfolk, Norwich employer: Ema
Contact Detail:
Ema Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Implementations Manager in Norfolk, Norwich
✨Tip Number 1
Get to know the company inside out! Research Ema's mission, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral — which is always a bonus!
✨Tip Number 3
Prepare for the interview by practising common questions related to AI implementation and delivery management. Use real-life examples from your experience to demonstrate how you’ve tackled challenges similar to those Ema faces.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your enthusiasm for the role can leave a lasting impression. Plus, it shows you’re proactive — just what they need in an AI Implementations Manager!
We think you need these skills to ace AI Implementations Manager in Norfolk, Norwich
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how much you care about building real AI systems that work in production. Share any relevant experiences or projects that highlight your passion.
Tailor Your Application: Make sure to customise your application to fit the role of AI Implementations Manager. Highlight your experience with technical delivery and implementation management, and don’t forget to mention any hands-on exposure to AI systems you've had!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications and achievements at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Ema
✨Know Your AI Inside Out
Make sure you have a solid understanding of agentic AI and how it integrates with enterprise systems. Brush up on the specific technologies mentioned in the job description, like cloud platforms and APIs, so you can speak confidently about your experience and how it relates to Ema's solutions.
✨Demonstrate Delivery Leadership
Prepare examples from your past roles where you successfully led technical delivery under pressure. Highlight how you managed stakeholder expectations and navigated challenges during implementation. This will show that you can handle the responsibilities of the AI Implementation Manager role.
✨Understand the Customer's Perspective
Research common business processes and constraints that potential customers might face. Be ready to discuss how you would translate these into feasible AI workflows. This shows that you’re not just technically savvy but also customer-focused, which is crucial for this role.
✨Communicate Clearly and Effectively
Practice articulating complex ideas in a straightforward manner. During the interview, focus on how you would communicate progress, risks, and decisions to various stakeholders. Clear communication is key in managing delivery and ensuring everyone is on the same page.